How can we ground Frontiers Models for Biological Research to Domain Knowledge, First Principles, and Constraints?
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Computer science↗
Engineering topics
Kailkhura, B
Publications and source records attributed to Kailkhura, B.
TrimLLaMA: Progressive Layer Dropping for Domain-SpecificLLMs
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Computer science↗
ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models
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Computer science↗
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
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Computer science↗
NEFTune: Noisy Embeddings Improve Instruction Finetuning
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Mathematics and Computing↗
Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Material Science Benchmark and An Integrated Optimization Framework
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Computer science↗
Unsupervised Test-Time Adaptation of Deep Neural Networks at the Edge: A Case Study
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Computer science↗
Learning Knowledge Graph Hierarchies for Improving Few-Shot Classification
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Computer science↗
Unsupervised Neural Network Adaptation at the Edge: A Design Space Exploration
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Computer science↗
Robusta: Robust AutoML for Feature Selection via Reinforcement Learning
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Computer science↗
Sample Efficient Uncertainty Estimation using Probabilistic Neighborhood Component Analysis
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Computer science↗
ANOMALOUS INSTANCE DETECTION IN DEEP LEARNING: A SURVEY
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Computer science↗
Adversarial Mutual Information for Text Generation
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Computer science↗
Automatic Perturbation Analysis on General Computational Graphs
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Computer science↗
MR-GAN: Manifold Regularized Generative Adversarial Networks
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Mathematics and Computing↗
TOWARDS AN EFFICIENT AND GENERAL FRAMEWORK OF ROBUST TRAINING FOR GRAPH NEURAL NETWORKS
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Mathematics and Computing↗
Generative Counterfactual Introspection forExplainable Deep Learning
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Computer science↗
A Look at the Effect of Sample Design onGeneralization through the Lens of Spectral Analysis
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Computer science↗